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A tool I couldn't build in two days of tinkering, finished in half an hour with a different model. Locked out of my computer; an AI agent fixed it in half an hour. Later I built Aima Service, wanting every device to have an AI helper when things go wrong.

Zero-friction onboarding plus extremely strong AI intelligence—two pillars can't support a product. When users see agents executing incomprehensible commands in the terminal, their first reaction isn't awe, it's fear. The missing pillar is progressive trust.

Prompts, RAG, fine-tuning, knowledge graphs, context engineering—five paradigm shifts in three years. Models are getting stronger, but we still don't actually know how to make agents perform well in products.

Mac's permission design is for humans, Linux is for programs. An Agent isn't an app, it's infrastructure. Running an Agent on Mac is like cramming a server into a laptop chassis—it works, but everything feels wrong.

Previously I wrote about cost and power. This piece fills in the legal aspect. The cloud is rented to you; the edge is sold to you. When AI Agents begin making autonomous decisions, this distinction becomes more than just a business choice.

It's inevitable that MiniMax's valuation will surpass Baidu's. As traffic shifts from humans to Agents, infrastructure not built for Agents will eventually become obsolete.

Someone asked me what I gain from helping others install OpenClaw for free. Two reasons: first, recruiting people; second, training my troops.